Quant Analytics Manager

Key Responsibilities

• Provide thought leadership and technical expertise in advanced analytics, including predictive modeling, clustering and machine learning.
• Serve as a subject matter expert in digital data, and analyze and visualize digital customer behaviors to translate engagement patterns into insights that shape marketing strategy and product innovation.
• Manage and analyze large, complex datasets from multiple sources, connecting customer behaviors across spend, payment, engagement, and digital interactions to actionable strategies that improve profitability and performance.
• Deliver tactical and strategic insights across marketing, sales, finance, and related business functions using modern visualization and reporting tools, with an emphasis on executive-ready narratives and decision support.
• Diagnose data quality issues and statistical anomalies, identify process improvement opportunities, and strengthen repeatability and controls across analytics workflows and reporting outputs.
• Own program management, process development, and stakeholder communications with limited oversight, ensuring timelines, dependencies, and outcomes are clearly managed and transparent.
• Coach and mentor junior team members, establishing high standards for analytical rigor, documentation, and business relevance while building a collaborative and high-performance culture.
• Communicate complex analytical results clearly to diverse audiences, tailoring content and level of detail to business partners and senior leadership while enabling decisions and actions.
• Partner with internal stakeholders and leaders across the Consumer & Community Banking (CCB) organization to align analytics priorities to business strategy, and collaborate with data owners to influence data models and analytics architecture.

Required Qualifications, Capabilities, And Skills

• Masters or Bachelors degree in a quantitative field with (e.g., Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline) with 5+ years of relevant experience.
• Demonstrated experience with digital analytics, visualization, and data workflow tools, including Adobe Analytics.
• Proven ability to serve as a digital data subject matter expert, including analyzing and visualizing digital customer behaviors and translating findings into business recommendations.
• Strong hands-on experience with data mining, analytical methods, and implementation of analytics into business strategy and execution.
• Proficiency in analytical languages (e.g., Python, SAS, R) and experience with Big Data technologies such as Snowflake and Databricks.
• Advanced SQL capability and experience working with relational databases, including building reproducible datasets and performing quality checks aligned to business use.
• Experience with dynamic and interactive reporting tools (e.g., Alteryx, Tableau) and the ability to create stakeholder-friendly dashboards and reporting assets.
• Exceptional interpersonal skills and a consulting orientation, including the ability to influence stakeholders at all levels and communicate complex quantitative concepts in plain business language.
• Track record of delivering analytics and insights to multiple levels of management with clear linkages to performance outcomes and business decisions.